Triple
T4922372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosea |
E110494
|
entity |
| Predicate | symbolicAction |
P16925
|
FINISHED |
| Object | marriage to an unfaithful wife as prophetic sign |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: marriage to an unfaithful wife as prophetic sign | Statement: [Hosea, symbolicAction, marriage to an unfaithful wife as prophetic sign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicAction Context triple: [Hosea, symbolicAction, marriage to an unfaithful wife as prophetic sign]
-
A.
symbolicAbility
Indicates the capacity of an entity to understand, manipulate, or use symbols to represent concepts, objects, or relationships.
-
B.
containsSymbolicAct
chosen
Indicates that one entity includes or incorporates a symbolic action or gesture associated with another entity.
-
C.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
D.
fromAct
Indicates that an entity originates from, is produced by, or results from a specified action or event.
-
E.
speechAct
Indicates that one entity performs a communicative action (such as stating, asking, commanding, or promising) directed toward another entity or audience.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.